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Line 15: gradient, [[alternating projection]]s, [[Alternating direction method of multipliers#Alternating direction method of multipliers\|alternating-direction method of multipliers]], alternating split [[Bregman method\|Bregman]] are special instances of proximal algorithms. Details of proximal methods are discussed in Combettes and Pesquet.<ref> {{cite ~~news~~arXiv \|last1=Combettes \|first1=Patrick L. \|last2= Pesquet \|first2=Jean-Christophe \|title=Proximal Splitting Methods in Signal Processing\|page={11–23} \|year=2009 \|~~url~~arxiv=~~http://arxiv.org/abs/~~0912.3522}}</ref> For the theory of proximal gradient methods from the perspective of and with applications to [[statistical learning theory]], see [[proximal gradient methods for learning]]. == Notations and terminology ==

Proximal gradient method: Difference between revisions